Product Manager

OnCorps, LLC•New York, NY

About The Position

OnCorps AI is the leading enterprise Agentic AI solution for middle and back-office automation. The company delivers production-ready AI agents that automate reconciliation, exception resolution, and oversight workflows for the world's largest asset managers, fund administrators and managed service providers. OnCorps' agentic AI architecture enables fully autonomous processing of complex middle and back-office workflows while maintaining the transparency, control, and auditability required by global financial institutions. Clients rely on OnCorps to deliver measurable operational efficiency and accuracy improvements across mission critical processes. We are seeking a talented and motivated Product Manager to join our rapidly growing team. You'll work alongside a team that's redefining what's possible in capital markets technology, while collaborating closely with leadership in a fast-moving, high-agency environment. As Product Manager, you will sit at the intersection of financial expertise, artificial intelligence, and disciplined execution. This is a "player-coach" style role that requires both high-level product strategy and hands-on project management. This is a high-impact role where you will combine deep financial intuition with disciplined technical execution. You will be the bridge between complex global regulations and the code that automates them. You will be responsible for defining the future of AI-driven financial oversight while ensuring that our development cycles are predictable and high-quality. You must understand the nuances of institutional finance to ensure our products are solving the industry’s most pressing challenges.

Requirements

5+ years of experience in Financial Services, FinTech, or RegTech. You should be deeply familiar with institutional finance operations (e.g., Asset Management, Fund Accounting, or Regulatory Reporting).
Proven track record of taking complex data products from initial concept through to successful market launch.
Experience managing technical workstreams using Agile/Scrum methodologies. You should be comfortable using Jira, Confluence, or similar tools to track velocity and capacity.
Ability to work closely with Data Scientists. You don’t need to code, but you must understand how data inputs, model training, and output validation impact the final financial product.
Exceptional ability to explain complex technical or financial concepts to both engineers and C-suite executives.

Nice To Haves

CFA, FRM, or PMP certifications are highly desirable.
Experience with machine learning products, specifically regarding "Explainable AI" within a regulated environment.
A degree in Finance, Computer Science, Mathematics, or a related field, or prior experience in a technical role.
Familiarity with SQL, Snowflake, Databricks, or other large-scale financial data warehousing.

Responsibilities

Define the long-term strategy for one or more product areas, ensuring it evolves ahead of shifting global financial regulations (e.g., SEC, FCA, ESMA).
Act as the internal subject matter expert on financial workflows, ensuring the AI models are solving for the right "edge cases" in financial data.
Establish and track product success metrics centered on operational efficiency, risk reduction, and ROI for institutional clients.
Own the end-to-end delivery lifecycle. You aren't just defining the "What"; you are managing the "When" by building sprint plans, managing backlogs, and removing technical blockers.
Translate complex financial requirements into detailed PRDs, user stories, and acceptance criteria that Engineering and Data Science teams can execute upon.
Lead the "rhythm of the business": sprint planning, stand-ups, and retrospectives, ensuring Engineering, Design, and QA are aligned on high-stakes deadlines.
Identify potential project risks (data gaps, technical debt, scope creep) early and implement mitigation strategies to maintain momentum.
Partner with Sales and Customer Success to ensure product launches are seamless and that internal teams are equipped with the technical knowledge to support global FS clients.